Yossi Arjevani is a postdoctoral researcher at NYU. In 2019 he received his PhD in mathematics and computer science at the Weizmann Institute, advised by Ohad Shamir. His research lies in the confluence of optimization and machine learning. He is particularly interested in complexity of optimization methods for machine learning, geometry of nonconvex optimization landscapes and theoretical aspects of deep learning. Yossi previously received his BS and MS in mathematics and computer science from the Hebrew university of Jerusalem, advised by Shai Shalev-Shwartz. He is the recipient of the Wolf Foundation Fellowships, John F. Kennedy Prize and the IAAI Best Dissertation award.
- Foundations of Deep Learning, Summer 2019. Research Fellow.